Context All US states require proof of immunization for school entry. Exemptions
are generally offered for medical, religious, or philosophical reasons, but
the health consequences of claiming such exemptions are poorly documented.
Objectives To quantify the risk of contracting measles among individuals claiming
religious and/or philosophical exemptions from immunization (exemptors) compared
with vaccinated persons, and to examine the risk that exemptors pose to the
nonexempt population.
Design, Setting, and Participants Population-based, retrospective cohort study of data from 1985 through
1992, collected by the Measles Surveillance System of the Centers for Disease
Control and Prevention, as well as from annual state immunization program
reports on prevalence of exemptors and vaccination coverage. The study group
was restricted to individuals aged 5 to 19 years. To empirically determine
and quantify community risk, a mathematical model was developed that examines
the spread of measles through communities with varying proportions of exemptors
and vaccinated children.
Main Outcome Measures Relative risk of contracting measles for exemptors vs vaccinated individuals
based on cohort study data. Community risk of contracting measles derived
from a mathematical model.
Results On average, exemptors were 35 times more likely to contract measles
than were vaccinated persons (95% confidence interval, 34-37). Relative risk
varied by age and year. Comparing the incidence among exemptors with that
among vaccinated children and adolescents during the years 1985-1992 indicated
that the 1989-1991 measles resurgence may have occurred 1 year earlier among
exemptors. Mapping of exemptors by county in California indicated that exempt
populations tended to be clustered in certain geographic regions. Depending
on assumptions of the model about the degree of mixing between exemptors and
nonexemptors, an increase or decrease in the number of exemptors would affect
the incidence of measles in nonexempt populations. If the number of exemptors
doubled, the incidence of measles infection in nonexempt individuals would
increase by 5.5%, 18.6%, and 30.8%, respectively, for intergroup mixing ratios
of 20%, 40%, and 60%.
Conclusions These data suggest the need for systematic review of vaccine-preventable
incidents to examine the effect of exemptors, increased surveillance of the
number of exemptors and cases among them, and research to determine the reasons
why individuals claim exemptions.
Immunizations are among the most cost-effective and successful public
health interventions. Due to the high contagion, morbidity, and mortality
associated with most vaccine-preventable diseases (VPDs), and the safety,
effectiveness, and potential financial savings offered by vaccines, all jurisdictions
in the United States have introduced and actively enforce laws that require
proof of immunization for school entrance.1-3
Many of these laws were initially written specifically for smallpox and later
amended to include other VPDs.4 Although there
are no federal laws mandating immunizations, the US Supreme Court has upheld
the constitutionality of state vaccination laws. In 1905, the Court ruled
in favor of a Massachusetts law; in 1922, the Court specifically addressed
vaccination as a prerequisite for school attendance.3
These federal rulings have served as precedents for state court rulings.
State immunization laws permit certain exemptions. As of January 1998,
all states allow medical exemptions (eg, for individuals who are immunocompromised,
have allergic reactions to vaccine constituents, or have moderate or severe
illness). To qualify for medical exemptions, parents or guardians must provide
a letter or other documentation from a physician. Forty-eight states permit
religious exemptions, and 15 states allow philosophical or personal exemptions.5 Such exemptions are defined differently by each state.
Texas requires that individuals claiming religious exemptions be a member
of a recognized religious group that opposes all immunizations and submit
a letter from a faith leader. By contrast, California offers personal beliefs
exemptions, which require only a parental affidavit.
Persons who claim exemptions from immunizations for any reason may be
at increased risk of contracting a VPD compared with immunized persons. In
addition, persons who claim philosophical and/or religious exemptions (exemptors)
may create some risk to the community because unvaccinated or undervaccinated
persons may be a source of transmission. In contrast to medical exemptions,
which are due to an intrinsic medical condition, religious and philosophical
exemptions are voluntary choices. Exemptors also pose a social equity issue.6 While vaccines cause fewer complications than VPDs,
no vaccine is perfectly safe. For most VPDs, "herd immunity," an indirect
protection for a community, may be established when a high enough proportion
of the population is immunized to interrupt transmission.3
High immunization levels therefore permit some unvaccinated individuals to
reap benefits of immunization without facing risks.6
The current success of immunization programs in achieving record-high levels
of coverage and record-low levels of VPDs results in many parents being unfamiliar
with VPDs. As a result, the desire of some parents to claim exemptions for
their children may increase when vaccine coverage is high.7
Since the actual impact of exemptors on disease occurrence has not been well
studied, we analyzed risks of exemptors to themselves and to the communities
in which they live.
Using a population-based, retrospective cohort study design, we quantified
the risk of exemptors compared with vaccinated individuals in contracting
measles. We identified measles cases among exemptors and vaccinated individuals
from 1985 through 1992, using data derived from the Measles Surveillance System
of the Centers for Disease Control and Prevention (CDC), Atlanta, Ga. This
system receives weekly reports of confirmed measles cases from 53 reporting
areas (50 states, New York City, Chicago, and the District of Columbia). The
reports include county, age, whether the case was an international importation,
vaccination status, and exemption status if unvaccinated.8
We restricted our study to school-aged children and adolescents (aged
5-19 years). We compared the relative risk of contracting measles of exemptors
and vaccinated individuals. We estimated the number of exemptors using CDC
annual, unpublished State Immunization Reports from 1990 through 1994. These
reports provide the "percentage of enrollees with an exemption for 1 or more
vaccines." Data submitted in the reports do not distinguish between religious,
philosophical, and medical exemptors, so we contacted program managers to
discern the types of exemptions. For states not able to identify type of exemptions
(n=34 [68%]), we used the overall percentages reported on state surveys, which
include medical exemptions (mean average of medical exemptions in the 16 states
for which it was possible to identify type of exemption was 0.16). For 1 state
(Delaware), which did not report percentage of individuals claiming exemption
for any year, we used the average percentage of exemptors for states that
did report these data (0.66%). We applied the (mean) average for each state
over these 5 years to the period 1985-1992. California provided county-specific
data on the percentage of exemptors, which were used in developing the mathematical
model.
We calculated the number of vaccinated individuals by assuming a 98%
national vaccination coverage rate for school-aged children and adolescents,
based on unpublished CDC school-survey data of yearly coverage by state and
antigen. All states reported at least 98% vaccination coverage among school-aged
youth for measles in the period 1985-1992. Sociodemographic variables were
not available. We used age-specific population data from the Bureau of the
Census to extrapolate the percentages into estimated numbers. Thus, we were
able to estimate age-specific measles incidence and the relative risk of measles
for exemptors compared with vaccinated persons.
To quantify the risk of contracting measles in communities that have
contact with exemptors, we applied a mathematical model to the data from the
cohort study (mathematical model available from the authors on request).9 The model examines the spread of disease through a
population consisting of different strata or groups. In our application, the
model consists of 2 groups: school-aged exemptors and nonexemptors. It is
assumed that youth within a given group mix randomly, but exemptors are more
likely to be in contact with other exemptors, and nonexemptors are more likely
to be in contact with other nonexemptors.
The extent to which youth are more likely to make contacts with others
from the same group is determined by the intergroup mixing ratio, which may
vary between 0 and 1. For example, if the mixing ratio is 0.6, then 60% of
the contacts are made with children chosen at random from the entire community
(including that child's own group), and the remaining 40% of a child's contacts
are made with other children from the same group. When the intergroup mixing
ratio is 1, there is random mixing between exemptors and nonexemptors, and
when the mixing ratio is 0, there are no contacts between groups.
Another important parameter in the model is the transmission probability,
which is the probability that a susceptible child becomes infected from a
single infected child. This parameter may vary across communities because
it depends on socioeconomic factors such as crowding. We assume that the vaccine
reduces the transmission probability to each child by a given fraction, which
is the vaccine efficacy. The vaccine efficacy in terms of transmission probabilities
is defined as 1 minus the ratio of the transmission probability to a vaccinee
and a nonvaccinee when both are exposed to a single infected person.10 The estimate of this quantity depends on the assumption
about the intergroup mixing ratio: for mixing ratios 0.6, 0.4, and 0.2, the
estimated efficacy is 0.62, 0.42, and 0.22, respectively.
The vaccine efficacy in the model differs significantly from the traditional
definition of vaccine efficacy, which estimates the measles vaccine to be
about 90% to 95% efficacious.1 Traditional
vaccine efficacy is based on the overall attack rates for a vaccinee and a
nonvaccinee during an outbreak. Efficacy also depends on the length of the
epidemic period and on vaccine coverage. Estimation of efficacy also may be
biased if vaccination is not random or if a vaccinee and a nonvaccinee do
not have the same exposure to the infecting agent. Vaccine efficacy based
on transmission probabilities, as in the model, standardizes exposure to a
single contact with an infected person, so it does not depend on factors such
as the vaccination strategy or coverage.9 These
2 measures of vaccine efficacy can be quite different, even if there is no
bias, especially if mixing is not random.
Our model provides equations that relate the disease attack rate (incidence)
during an outbreak to the values of the transmission probabilities and intergroup
mixing ratios. These equations are used to estimate the transmission probabilities
from the observed attack rates among exemptors and nonexemptors and predict
the expected attack rates based on changes in the number of exemptors.
To apply this model, we assumed that the population consists of 1000
communities. The distribution of the transmission probabilities over the communities
was determined so that the overall numbers of expected cases in exemptors
and nonexemptors were close to the observed frequencies. The ratio of transmission
probabilities for exemptors and nonexemptors was also determined from the
overall attack rates.
We developed the model to account for the clustering of exemptors as
seen in national and California data. Five percent of the communities were
assigned a rather high proportion of exemptors (5%); another 5% of the communities
had no exemptors; and the proportion of exemptors in the remaining 90% of
the communities was constant (0.21%), which was determined such that the overall
proportion of exemptors was the same as in the entire population (0.44%).
To empirically determine and quantify the impact of changes in the number
of exemptors on the number of measles cases among nonexemptors, we explored
various changes in the size of the exempt population: 50% decrease in the
number of exemptors (ie, these individuals become vaccinated); and 50%, 100%,
200%, and 300% increases in the number of exemptors.
United States measles surveillance data indicate that exemptors were
at a statistically significant increased risk of contracting measles vs vaccinated
individuals for each age group and in every year (Table 1). On average, from 1985 through 1992, for persons aged 5
to 19 years, exemptors were 35 times more likely to contract measles than
were vaccinated persons. The relative risk varied greatly by age group and
by year, ranging from 4 times the risk of contracting measles for exemptors
aged 15 to 19 years compared with vaccinated individuals in 1992, to 170 times
the risk in 1988 for those aged 5 to 9 years . Cases among the vaccinated
youth were more frequent in the older age categories. Cases among exemptors
have a more uniform distribution across age categories (Table 1).
Comparing the incidence among
school-aged exemptors with that among school-aged vaccinated children and
adolescents during the years 1985 through 1992 indicates that the 1989-1991
measles resurgence may have occurred 1 year earlier among exemptors (Figure 1).
Mapping of exemptors by county was available for California,
where school entry laws allow parents to elect personal belief exemptions
from mandatory vaccinations for their children. Overall, approximately 0.5%
of children enter kindergarten each year with such exemptions, a value that
has remained relatively stable over the past 2 decades. However, the frequency
of exemptors is not uniform in schools across the state. In 1995, in 84% of
California's public and private schools with kindergartens, the proportion
of children entering with exemptions was less than 1%. However, in 12% of
schools, 1% to 4% of children entered with exemptions, and in 4% of schools,
at least 5% of entrants were exempted. The proportion of exemptors is higher
in the northern half of the state and is particularly high along the northern
foothills of the Sierra Nevada Mountains and in some central and northern
coastal areas.
Our mathematical model suggests that changes in
the number of exemptors affects measles cases in the nonexempt population
(Table 2). The mixing ratio largely
determines the impact a particular increase or decrease of exemptors would
have on the nonexempt population. For example, if the number of exemptors
doubled, then the incidence of measles in the nonexempt population would increase
by 5.5%, 18.6%, and 30.8% for intergroup mixing ratios of 20%, 40%, and 60%,
respectively. The greater the increase in the number of exemptors, the more
effect they have on the nonexempt population.
The control of VPDs by means of immunization requirements necessitates
careful balance of individual rights and public good.3,5
Policymakers must weigh the rights of individuals who wish to claim exemptions
from immunizations against VPD risks that endanger the general public. Each
US state has permitted some degree of exemptions for medical reasons or for
religious and/or philosophical reasons.
At low vaccination coverage
and exemption levels, exemptors are unlikely to have a significant impact
from a public health standpoint. Their impact is essentially a minor increase
in the percentage of nonimmune or nonimmunized individuals, the great majority
of whom are unvaccinated for other reasons. When vaccination coverage levels
are high, herd immunity results in low incidence of VPDs, and reports of vaccine
adverse events compared with disease incidence are more visible.11
For diseases that are transmitted from person to person (and are therefore
affected by herd immunity, eg, poliomyelitis, measles, pertussis, rubella,
diphtheria, and varicella), individual and societal risk-benefit calculations
may diverge.6 The individual (or parents) wishing
to minimize individual risk may decide to avoid vaccination by claiming an
exemption, relying on the fact that others are vaccinated to provide protection.
Society's motives in vaccination, however, are to protect both
individuals and their neighbors.6 If a large
number of individuals choose exemption, a "tragedy of the commons" may result,12 with reductions in vaccination coverage and ensuing
resurgence of VPDs. In several countries in the 1970s and 1980s, concerns
about alleged or suspected adverse effects led to decreases in pertussis immunization
resulting in a major resurgence in the incidence of pertussis.13
Such outbreaks highlight the continued relevance of state vaccination laws
as long as VPDs have not been eradicated globally.
The effort
to increase availability of philosophical exemptions to vaccinations may reflect
this divergence in perceived risk-benefit.5
Unfortunately, VPDs other than poliomyelitis are unlikely to be eradicated
globally in the near future.14 Consequently,
high immunization levels against these VPDs will need to be maintained. Thus,
in settings like the United States, where levels of reported VPDs are low
and reported adverse events following immunization are relatively prominent,15 debate over appropriateness of exemptions to mandatory
immunizations is likely to continue.
There have been many reports
of VPD outbreaks that started primarily in exempt individuals and then spread
to vaccinated persons.5 For example, a 1996
measles outbreak in Utah exemplified the effect that clusters of exemptors
can have on the community. Statewide, 118 cases occurred, with 107 in Washington
County.16 Compared with the percentage of exemptors
nationally (0.44%), Utah has almost 3 times the national average (1.2%), while
Washington County has more than 7 times the national average (3.7%). Of the
Washington County cases, 48 (45%) were among exemptors. The outbreak lasted
6 generations. Two (66.7%) of the 3 cases in the first generation were exemptors,
as were 17 (53%) of 32 cases in the second generation, and 15 (60%) of 25
cases in the third generation. The substantial percentage of exemptors in
this outbreak, as well as the concentration of cases among exemptors in the
beginning of the outbreak, suggests that they played a major role in transmission
(Rebecca Ward, community health specialist, Utah Immunization Program, oral
and written communications, September 1997 through September 1998). Such reports
confirm the biological plausibility of outbreaks starting in susceptible,
unvaccinated individuals and then spreading to vaccinated children and adolescents
who are inadequately protected due to vaccine failure.
While individual
outbreaks of measles,17,18 pertussis,19 rubella,20 and poliomyelitis21,22 in unvaccinated religious communities
have been reported, data are lacking to quantify the risk of acquiring a VPD
among exemptors vs the general population and the risk that exemptors may
pose to the nonexempt public. Our study estimates that from 1985 through 1992,
school-aged children and adolescents claiming exemptions in the United States
were 35 times more likely to contract measles than vaccinated youth. Surveillance
data suggest that increases in VPD incidence among exemptors may be a sentinel
effect for a potential outbreak among the general population. We also developed
a mathematical model that permits quantification of the risk relationship
between exemptor and nonexemptor communities, depending on the relative increase
or decrease of exemptors and the degree of mixing between the 2 communities.
We chose to use 1985-1992 measles data for this study because
this was the most complete data set to which we had ready access. The data
examined in this study include the 1989-1991 measles resurgence, the largest
outbreak since 1977. In 1990 alone, 26,672 cases of measles and the largest
annual number of measles deaths (n=89) since 1971 were reported.23
The resurgence has been attributed to poor coverage rates among children younger
than 5 years in urban areas and certain minority groups.24
We focused on school-aged children and adolescents because approximately 80%
of measles cases during these years were among individuals younger than 19
years.25 Furthermore, exemptions are granted
when immunization laws are enforced—usually at day care or school entrance.
If not medically exempt, the choice is either to become immunized or become
an exemptor. The relative risk between exemptors and vaccinated persons quantifies
the consequences of this choice.
We developed a mathematical model
based on the known characteristics of exemptors that emerged from the CDC
State Immunization Reports and California data. Exemptors tend to cluster
within local and state boundaries, thereby increasing the effect that they
may have on the rest of the population in comparison with a dispersed pattern.
For example, a state may have a relatively low percentage of exemptors overall,
while a community in that state may have a substantially higher percentage
of exemptors. Our model accounts for this by dividing the population into
1000 communities with varying percentages of exemptors. The mixing ratio accounts
for individual choices in social settings. Although there may be a relatively
small number of exemptors in the state or county, there could be a significant
clustering of exemptors in a given individual's social sphere (eg, school,
social organizations, and religious community). It is impossible to quantify
a mixing ratio on a national level, but personal preferences in social settings
suggest that this fluctuates as accounted for in our model.
Our
study findings should be interpreted with the following caveats. Cases of
measles among exemptors may have been underreported to the Measles Surveillance
System because they are more likely to occur in communities with "alternative"
health care beliefs, or overreported because measles vaccination was not recorded
in the child's immunization history. Furthermore, there may have been inaccuracies
in determining the numbers of exemptors because these data were based on state
reports from 1990 through 1994. If there was a substantial change in the percentage
of exemptors in any state during these years compared with 1985 through 1989,
the earlier estimations may be inaccurate. The number of religious and/or
philosophical exemptors may have been overestimated because medical exemptions
were included in 34 states for which it was not possible to distinguish between
type of exemption.
There are also limitations in the age-specific
analysis. Vaccination coverage was estimated using state reports for kindergarten
through grade 12. It is possible that immunization coverage was higher for
the younger students because the primary point of enforcement is typically
at first entry to school and strict enforcement of laws began in the late
1970s.5 This could account for differences
in the age distribution of measles cases among exemptors and vaccinated children.
These differences also could be explained by the possibility of waning immunity
among vaccinated children or environmental exposure (ie, older children may
be more likely to have environmental exposure to measles because of age-related
differences in social settings and numbers of contacts). It is also possible
that some individuals claimed an exemption for a specific vaccine, but not
for other vaccines. If this were the case, the child would be counted in the
denominator of the exemptor incidence, despite possible immunization for measles.
Unfortunately, surveillance data prior to 1985 or after 1992
are not available to determine if the earlier increase in incidence among
exemptors compared with vaccinated children observed in Figure 1 has a general sentinel effect or an ecologic aberrance
unique to these years. However, such an effect is consistent with the known
higher susceptibility rate in exemptors.
Throughout this study,
exemptors are defined as individuals claiming religious and/or philosophical
exemptions offered by individual states. While this definition is functional
for an epidemiologic study, it may not be for policy issues because each state
defines exemptions differently. Some states require an unequivocal statement
from a religious leader that immunization conflicts with the person's religious
belief. This type of requirement for an exemption essentially assesses the
strength of conviction of the individual applying for an exemption, similar
to Selective Service boards assessing exemptions from military draft. Other
states grant exemption based on a form signed by parents, indicating that
immunizations are against the individual's personal belief. In these states,
efforts may not be made to assess strength of conviction.
Further
research is needed to better quantify the magnitude of the risks that exemptors
pose to nonexemptors. For example, systematic review of the role of exemptors
in facilitating transmission in recent and future VPD outbreaks may be useful.
Public health surveillance for VPDs should routinely monitor exemption status
among new VPD cases. Methods to help identify potential increases in the number
or clustering of exemptors before VPD outbreaks occur may be needed. Having
determined that exemptors are a risk factor for contracting a VPD, it is important
to discover the underlying reasons why individuals are claiming exemptions.
Interventions should be developed and implemented to counter misunderstanding
of the relative risks and benefits of immunization at both the individual
and societal level.
1.Plotkin SA, Mortimer EA. Vaccines. 2nd ed. Philadelphia, Pa: WB Saunders Co; 1994.
2.Robbins KB, Brandling-Bennett AD, Hinman AR. Low measles incidence: association with enforcement of school immunization
laws.
Am J Public Health.1981;71:270-274.Google Scholar 3. State Immunization Requirements: 1994-95 . Atlanta, Ga: Dept of Health and Human Services, Centers for Disease
Control and Prevention; 1996.
4.Jackson CL. State laws on compulsory immunization in the United States.
Public Health Rep.1969;84:787-795.Google Scholar 5.National Vaccine Advisory Committee. Report of the NVAC Working Group on Philosophical Exemptions. In: Minutes of the National Vaccine Advisory Committee:
January 13, 1998. Atlanta, Ga: National Vaccine Program Office; 1998:1-5.
6.Hershey JC, Asch DA, Thumasathit T, Meszaros J, Waters VV. The roles of altruism, free riding, and bandwagoning in vaccination
decisions.
Organizational Behavior Hum Decis Process.1994;59:177-187.Google Scholar 7.Fine PE, Clarkson JA. Individual versus public priorities in the determination of optimal
vaccination policies.
Am J Epidemiol.1986;124:1012-1020.Google Scholar 8.Centers for Disease Control and Prevention. Summary of notifiable diseases, United States, 1996.
MMWR Morb Mortal Wkly Rep.1996;45(53):iii-vi.Google Scholar 9.Haber M. Estimation of the population effectiveness of vaccination.
Stat Med.1997;16:601-610.Google Scholar 10.Haber M, Longini IM, Holloram ME. Measures of the effects of vaccination in a randomly mixing population.
Int J Epidemiol.1991;20:300-310.Google Scholar 11.Chen RT, Rastogi SC, Mullen JR.
et al. The Vaccine Adverse Event Reporting System (VAERS).
Vaccine.1994;12:542-550.Google Scholar 13.Gangarosa EJ, Galazka A, Wolfe CR, Phillips LM, Miller E, Chen RT. Impact of the anti-vaccine movements on pertussis control: the untold
story.
Lancet.1998;351:356-361.Google Scholar 14.Centers for Disease Control and Prevention. Progress toward global eradication of poliomyelitis, 1997.
MMWR Morb Mortal Wkly Rep.1998;47:414-419.Google Scholar 15.Chen RT, DeStefano F. Vaccine adverse event: causal or coincidental [commentary]?
Lancet.1998;351:611-612.Google Scholar 16.Centers for Disease Control and Prevention. Measles outbreak—southwestern Utah, 1996.
MMWR Morb Mortal Wkly Rep.1997;46:766-769.Google Scholar 17.Novotny T, Jennings CE, Doran M. Measles outbreaks in religious groups exempt from immunization laws.
Public Health Rep.1988;103:49-54.Google Scholar 18.Sutter RW, Markowitz LE, Bennetch JM, Morris W, Zell WR, Prebud SR. Measles among the Amish: comparative study of measles severity in primary
and secondary cases in households.
J Infect Dis.1991;163:12-16.Google Scholar 19.Etkind P, Lett SM, MacDonald PD, Silva E, Peppe J. Pertussis outbreaks in groups claiming religious exemptions to vaccination.
AJDC.1992;146:173-176.Google Scholar 20.Mellinger AK, Cragan JD, Atkinson WL.
et al. High incidence of congenital rubella syndrome after a rubella outbreak.
Pediatr Infect Dis J.1995;14:573-578.Google Scholar 21.Oostvogel PM, van Wijngaarden JK, van der Avoort HG.
et al. Poliomyelitis outbreak in an unvaccinated community in the Netherlands,
1992-93.
Lancet.1994;344:665-670.Google Scholar 22.White FM, Lacey BA, Constance PD. An outbreak of poliovirus infection in Alberta: 1978.
Can J Public Health.1981;72:119-124. Taken from: MMWR Morb Mortal Wkly
Rep. 1979;28:345.Google Scholar 23.Centers for Disease Control and Prevention. Measles—United States, 1990.
MMWR Morb Mortal Wkly Rep.1991;40:369-372.Google Scholar 24.National Vaccine Advisory Committee. The Measles Epidemic: The Problems, Barriers and
Recommendations. Washington, DC: National Vaccine Program Office; 1991.
25.Atkinson W, Murphy L, Gantt J, Mayfield M. Epidemiology and Prevention of Vaccine-Preventable
Diseases. 2nd ed. Atlanta, Ga: Dept of Health and Human Services, Centers for
Disease Control and Prevention; 1995.